Artificial Intelligence in Diffusion MRI Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function |
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| Author:
| Shehab, Mohammad |
| Series title: | Studies in Computational Intelligence Ser. |
| ISBN: | 978-3-030-36082-5 |
| Publication Date: | Nov 2019 |
| Publisher: | Springer International Publishing AG
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| Imprint: | Springer |
| Book Format: | Hardback |
| List Price: | USD $159.99USD $159.99 |
Book Description:
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This book focuses on the use of artificial intelligence to address a specific problem in the brain - the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction...
More DescriptionThis book focuses on the use of artificial intelligence to address a specific problem in the brain - the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science.